From unstructured texts to semantic story maps Bartalesi V., Coro G., Lenzi E., Pagano P., Pratelli N. Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole. Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching the map with text, pictures, videos, and other multimedia information. This paper presents a semi-automatic workflow to produce story maps from textual documents containing territory data. An expert first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract key concepts (entities) and geospatial coordinates associated with the territory, (ii) assemble a logically-ordered sequence of enriched story-map events, and (iii) openly publish online story maps and an interoperable Linked Open Data semantic knowledge base for event exploration and inter-story correlation analyses. Our workflow uses an Open Science-oriented methodology to publish all processes and data. Through our workflow, we produced story maps for the value chains and territories of 23 rural European areas of 16 countries. Through numerical evaluation, we demonstrated that territory experts considered the story maps effective in describing their territories, and appropriate for communicating with citizens and stakeholders.Source: International journal of digital earth (Online) 16 (2023): 234–250. doi:10.1080/17538947.2023.2168774 DOI: 10.1080/17538947.2023.2168774 Project(s): MOVING Metrics:
Representation of socio-historical context to support the authoring and presentation of multimodal narratives: the Mingei online platform Partarakis N., Doulgeraki P., Karuzaki E., Adami I., Ntoa S., Metilli D., Bartalesi V., Meghini C., Marketakis Y., Kaplanidi D., Theodoridou M., Zabulis X. In this article, the Mingei Online Platform is presented as an authoring platform for the representation of social and historic context encompassing a focal topic of interest. The proposed representation is employed in the contextualised presentation of a given topic, through documented narratives that support its presentation to diverse audiences. Using the obtained representation, the documentation and digital preservation of social and historical dimensions of Cultural Heritage are demonstrated. The implementation follows the Human-Centred Design approach and has been conducted under an iterative design and evaluation approach involving both usability and domain experts.Source: Journal on computing and cultural heritage (Online) 15 (2022): 1–26. doi:10.1145/3465556 DOI: 10.1145/3465556 Project(s): Mingei Metrics:
An exploratory approach to archaeological knowledge production Thanos C., Meghini C., Bartalesi V., Coro G. The current scientific context is characterized by intensive digitization of the research outcomes and by the creation of data infrastructures for the systematic publication of datasets and data services. Several relationships can exist among these outcomes. Some of them are explicit, e.g. the relationships of spatial or temporal similarity, whereas others are hidden, e.g. the relationship of causality. By materializing these hidden relationships through a linking mechanism, several patterns can be established. These knowledge patterns may lead to the discovery of information previously unknown. A new approach to knowledge production can emerge by following these patterns. This new approach is exploratory because by following these patterns, a researcher can get new insights into a research problem. In the paper, we report our effort to depict this new exploratory approach using Linked Data and Semantic Web technologies (RDF, OWL). As a use case, we apply our approach to the archaeological domain.Source: International journal on digital libraries (Internet) (2022). doi:10.1007/s00799-022-00324-3 DOI: 10.1007/s00799-022-00324-3 Metrics:
Story Map Building and Visualising Tool (SMBVT) Lenzi E., Bartalesi V., Pratelli N., Coro G., Pagano P. In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface.
The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event).
All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared.
Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.Project(s): "CMG Collaborative Research": A Systematic Approach to Large Amplitude Internal Wave Dynamics: An Integrated Mathematical, Observational, and Remote Sensing Model, Blue Cloud , MOVING
Once the data about a work is inserted through the tool interface, this is encoded as an OWL knowledge base and stored in a triple store. The data is first exported to a JSON object. Indeed our software uses a JSON schema to represent the data, structured according to the IMAGO ontology classes. The JSON object is processed by Java software, which transforms it into an OWL graph encoded in RDF/XML and Turtle formats. This software carries out its task by relying on the Apache Jena library. The graph is finally stored in a Fuseki triple store, and it can be queried through a SPARQL endpoint.
A representation protocol for traditional crafts Zabulis X., Partarakis N., Meghini C., Dubois A., Manitsaris S., Hauser H., Thalmann N. M., Ringas C., Panesse L., Cadi N., Baka E., Beisswenger C., Makrygiannis D., Glushkova A., Padilla B. E. O., Kaplanidi D., Tasiopoulou E., Cuenca C., Carre A. -L., Nitti V., Adami I., Zidianakis E., Doulgeraki P., Karouzaki E., Bartalesi V., Metilli D. A protocol for the representation of traditional crafts and the tools to implement this are proposed. The proposed protocol is a method for the systematic collection and organization of digital assets and knowledge, their representation into a formal model, and their utilization for research, education, and preservation. A set of digital tools accompanies this protocol that enables the online curation of craft representations. The proposed approach was elaborated and evaluated with craft practitioners in three case studies. Lessons learned are shared and an outlook for future work is provided.Source: Heritage (Basel) Online 5 (2022): 716–741. doi:10.3390/heritage5020040 DOI: 10.3390/heritage5020040 Project(s): Mingei Metrics:
A knowledge base of medieval and renaissance geographic Latin works Bartalesi V., Pratelli N., Lenzi E. The geography of the world created during the Middle Ages and Renaissance (VI-XV centuries) was crucial to the development of Western thought in the European history. Until now, to the best of our knowledge, Medieval and Renaissance geographic Latin literature has not been studied using digital methods. The Italian National research project IMAGO - Index Medii Aevi Geographiae Operum - (2020-2023) aims at providing a systematic overview of this literature using Semantic Web technologies and the Linked Open Data paradigm. As the first step to develop tools to support scholars in creating, evolving and consulting a knowledge base (KB) of the geographic works, we created an OWL 2 DL ontology. To maximize its interoperability, we developed the ontology as an extension of two reference vocabularies: the CIDOC CRM and FRBRoo (including its in-progress reformulation LRMoo). In this paper, we briefly present the project, the ontology, and the automatic and semi-automatic tools we developed to populate it. The final aim of the project is the creation of a Web application allowing scholars to freely access and visualise the data collected in the IMAGO knowledge base.Source: IRCDL 2022 - 18th Italian Research Conference on Digital Libraries, Padua, Italy, 24-25/02/2022
Linking different scientific digital libraries in Digital Humanities: the IMAGO case study Bartalesi V., Pratelli N., Lenzi E. In the last years, several scientific digital libraries (DLs) in digital humanities (DH) field have been developed following the Open Science principles. These DLs aim at sharing the research outcomes, in several cases as FAIR data, and at creating linked information spaces. In several cases, to reach these aims the Semantic Web technologies and Linked Data have been used. This paper presents how the current scientific DLs in the DH field can provide the creation of linked information spaces and navigational services that allow users to navigate them, using Semantic Web technologies to formally represent, search and browsing knowledge. To support the argument, we present our experience in developing a scientific DL supporting scholars in creating, evolving and consulting a knowledge base related to Medieval and Renaissance geographical works within the three years (2020-2023) Italian National research project IMAGO--Index Medii Aevi Geographiae Operum. In the presented case study, a linked information space was created to allow users to discover and navigate knowledge across multiple repositories, thanks to the extensive use of ontologies. In particular, the linked information spaces created within the IMAGO project make use of five different datasets, i.e. Wikidata, the MIRABILE digital archive, the Nuovo Soggettario thesaurus, Mapping Manuscript Migration knowledge base and the Pleiades gazetteer. The linking among different datasets allows to considerably enrich the knowledge collected in the IMAGO KB.Source: International journal on digital libraries (Internet) (2022). doi:10.1007/s00799-022-00331-4 DOI: 10.1007/s00799-022-00331-4 Metrics:
MOVING D3.3 - Tools for science-society-policy interfaces. Using semantic story maps to describe a territory beyond its map Bartalesi V., Coro G., Lenzi E., Pratelli N., Pagano P. Maps have always stimulated people's imagination and spatiotemporally supported storytelling; however, they cannot alone represent the life and emotions associated with the territories they describe. Story maps are an IT solution to enrich maps with such information. They are online applications enriched with multimedia and textual information that tell map-based stories. Current software for story map building is either commercial or requires advanced IT skills that make it hardly used by environmental experts. This deliverable describes the Story Map Building and Visualizing Tool (SBVMT), an open-source and free-to-use tool to build and publish story maps, which overcomes common drawbacks of other software by operating within the open-science e-Infrastructure (D4Science) used in the MOVING Project. SBVMT includes new features such as an ontology to represent story maps, Semantic Web technologies for data representation, automatic connection to Wikidata, secure multi-user collaboration in story building, and visualisation of the narrative either as a story map or a timeline. This deliverable shows how SBVMT can overcome the perceptual gap between territory and map. We evaluated its usability and effectiveness from both the point of view of experts building the story map and users interacting with it. Using SMBVT we created the story maps related to the MOVING selected regions. Furthermore, exploiting the semantic web technologies, we implemented several SPARQL queries that allow linking different stories and discovering new knowledge.Source: ISTI Research Report, MOVING, D3.3, 2022 Project(s): MOVING
AIMH research activities 2022 Aloia N., Amato G., Bartalesi V., Benedetti F., Cafarelli D., Carrara F., Casarosa V., Ciampi L., Coccomini D. A., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Lenzi E., Meghini C., Messina N., Metilli D., Molinari A., Moreo A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C. The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.
This report summarize the 2022 activities of the research group.Source: ISTI Annual reports, 2022 DOI: 10.32079/isti-ar-2022/002 Metrics:
Digitisation of traditional craft processes Zabulis X., Meghini C., Dubois A., Doulgeraki P., Partarakis N., Adami I., Karuzaki E., Carre A. L., Patsiouras N., Kaplanidi D., Metilli D., Bartalesi V., Ringas C., Tasiopoulou E., Stefanidi Z. An approach to the representation and documentation of craft processes is proposed. The proposed approach is a method for the systematic identification and digital representation of pertinent data, information, and knowledge. The outcome representation is compatible with contemporary digitisation practices and digital preservation standards. The implementation of the approach is provided within the context of an online platform that is accompanied by auxiliary tools for digital curation. This platform is a multiple user system, where craft representations can be collaboratively authored, shared, displayed, and digitally preserved in standardised formats. Basic uses of this scheme and presentational applications are provided, along with identification of future work and limitations.Source: ACM journal on computing and cultural heritage (Print) 15 (2022). doi:10.1145/3494675 DOI: 10.1145/3494675 Project(s): Mingei Metrics:
Representation and Presentation of Culinary Tradition as Cultural Heritage Partarakis N., Kaplanidi D., Doulgeraki P., Karuzaki E., Petraki A., Metilli D., Bartalesi V., Adami I., Meghini C., Zabulis X. This paper presents a knowledge representation framework and provides tools to allow the representation and presentation of the tangible and intangible dimensions of culinary tradition as cultural heritage including the socio-historic context of its evolution. The representation framework adheres to and extends the knowledge representation standards for the Cultural Heritage (CH) domain while providing a widely accessible web-based authoring environment to facilitate the representation activities. In strong collaboration with social sciences and humanities, this work allows the exploitation of ethnographic research outcomes by providing a systematic approach for the representation of culinary tradition in the form of recipes, both in an abstract form for their preservation and in a semantic representation of their execution captured on-site during ethnographic research.Source: Heritage (Basel) Online 4 (2021): 612–640. doi:10.3390/heritage4020036 DOI: 10.3390/heritage4020036 Project(s): Mingei Metrics:
The Hypermedia Dante Network Project Tomazzoli G., Livraghi L. M. G., Metilli D., Pratelli N., Bartalesi V. In this paper, we present the Hypermedia Dante Network (HDN) project. First, we briefly introduce the relevant state of the art on Dante's commentaries and their digital representation, and we outline the project goals. In the main section, we present the core features of the HDN ontology, an evolution of the DanteSources ontology that aims at representing knowledge about Dante's primary sources as they are identified by a vast range of commentaries. Then, we describe the tool that has been developed to process Dante's commentaries and populate the HDN ontology. Finally, we comment on the project's usability and possible outcomes for both scholars and common users.Source: AIUCD 2021 - DH per la società: e-guaglianza, partecipazione, diritti e valori nell'era digitale, pp. 269–274, Pisa, 19-22/01/2021
Towards a knowledge base of medieval and renaissance geographical Latin works: the IMAGO ontology Bartalesi V., Metilli D., Pratelli N., Pontari P. In this article we present the first achievement of the Index Medii Aevi Geographiae Operum (IMAGO)--Italian National Research Project (2020-23), that is, the ontology we have created in order to formally represent the knowledge about the geographical works written in Middle Ages and Renaissance (6th-15th centuries). The IMAGO ontology is derived from a strict collaboration between the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR) and the scholars who are involved in the project, who have supported ISTI-CNR in defining a conceptualization of the domain of knowledge. Following the re-use logic, we have selected as reference ontologies the International Committee on Documentation CRM vocabulary and its extension FRBRoo, including its in-progress reformulation, LRMoo. This research is included in a wider project context whose final aim is the creation of a knowledge base (KB) of Latin geographic literature of the Middle Ages and Renaissance Humanism in which the data are formally represented following the Linked Open Data paradigm and using the Semantic Web languages. At the end of the project, this KB will be accessed through a Web application that allows retrieving and consulting the collected data in a user-friendly way for scholars and general users, e.g. tables, maps, CSV files.Source: Digital Scholarship in the Humanities (2021). doi:10.1093/llc/fqab060 DOI: 10.1093/llc/fqab060 Metrics:
The IMAGO project: towards a knowledge base of medieval and renaissance geographical works Bartalesi Lenzi V., Pratelli N. The image of the world created by the Medieval and Renaissance culture was crucial to the development of Western thought in European history. To the best of our knowledge Medieval and Renaissance geographical works have not been studied using digital methods.
The three years (2020-2023) Italian National research project IMAGO - Index Medii Aevi Geographiae Operum - aims at providing a systematic overview of this literature using Semantic Web technologies. As the first step to develop tools to support scholars in creating, evolving and consulting a knowledge base (KB) of the geographical works, we created an OWL 2 DL ontology. Following the re-use logic and to maximize the interoperability, we developed the ontology as an extension of two reference ontologies, that is the CIDOC CRM vocabulary and its extension FRBRoo, including its in-progress reformulation, LRMoo. In this paper, we present the project, the ontology and the tool to populate it that we developed. Furthermore, we present a preliminary study to map the works collected in the IMAGO KB and the manuscripts stored in the KB of the Mapping Manuscript Migrations project.Source: SWODCH 2021 - International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage, Bolzano, 20-21/09/2021
A formal representation of the divine comedy's primary sources: The Hypermedia Dante Network ontology Bartalesi V., Pratelli N., Meghini C., Metilli D., Tomazzoli G., Livraghi L. M. G., Zaccarello M. Hypermedia Dante Network (HDN) is a 3-year Italian National Research Project, started in 2020, which aims to enrich the functionalities of the DanteSources Digital Library to efficiently represent knowledge about the primary sources of Dante's Comedy. DanteSources allows users to retrieve and visualize the list and the distribution of Dante's primary sources that have been identified by recent commentaries of five of Dante's minor works (i.e. Vita nova, De vulgari eloquentia, Convivio, De Monarchia, and Rime). The digital library is based on a formal ontology expressed in Resource Description Framework Schema (RDFS) language. Based on the DanteSources experience, the HDN project aims to formally represent the primary sources of the Divine Comedy whose identification is based on several commentaries included in the Dartmouth Dante Project corpus. To reach this goal, we restructured and extended the DanteSources ontology to provide a wider and more complete representation of the knowledge concerning the primary sources of the Comedy. In this article, we present the result of this effort, i.e. the HDN ontology. The ontology is expressed in OWL and has as reference ontologies the CIDOC CRM and its extension FRBRoo, including its in-progress reformulation LRMoo. We also briefly describe the semi-automatic tool that will be used by the scholars to populate the ontology.Source: Digital Scholarship in the Humanities 37 (2021): 630–643. doi:10.1093/llc/fqab080 DOI: 10.1093/llc/fqab080 Metrics:
AIMH research activities 2021 Aloia N., Amato G., Bartalesi V., Benedetti F., Bolettieri P., Cafarelli D., Carrara F., Casarosa V., Coccomini D., Ciampi L., Concordia C., Corbara S., Di Benedetto M., Esuli A., Falchi F., Gennaro C., Lagani G., Massoli F. V., Meghini C., Messina N., Metilli D., Molinari A., Moreo A., Nardi A., Pedrotti A., Pratelli N., Rabitti F., Savino P., Sebastiani F., Sperduti G., Thanos C., Trupiano L., Vadicamo L., Vairo C. The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability.
This report summarize the 2021 activities of the research group.Source: ISTI Annual Report, ISTI-2021-AR/003, pp.1–34, 2021 DOI: 10.32079/isti-ar-2021/003 Metrics:
Representation and preservation of heritage crafts Zabulis X., Meghini C., Partarakis N., Beisswenger C., Dubois A., Fasoula M., Nitti V., Ntoa S., Adami I., Chatziantoniou A., Bartalesi V., Metilli D., Stivaktakis N., Patsiouras N., Doulgeraki P., Karuzaki E., Stefanidi E., Qammaz A., Kaplanidi D., Neumann-Janssen I., Denter U., Hauser H., Petraki A., Stivaktakis I., Mantinaki E., Rigaki A., Galanakis G. This work regards the digital representation of tangible and intangible dimensions of heritage crafts, towards craft preservation. Based on state-of-the-art digital documentation, knowledge representation and narrative creation approach are presented. Craft presentation methods that use the represented content to provide accurate, intuitive, engaging, and educational ways for HC presentation and appreciation are proposed. The proposed methods aim to contribute to HC preservation, by adding value to the cultural visit, before, and after it.Source: Sustainability (Basel) 12 (2020): 1–26. doi:10.3390/su12041461 DOI: 10.3390/su12041461 Project(s): Mingei Metrics:
Catalogue of E-RIHS resources and services Meghini C., Benassi L., Galeotti M., Bartalesi V., Concordia C., Castillejo M., Calvo C., Andreassi E., Striova J. The Deliverable 8.1 describes the work carried in Task 8.3 "Catalogue of E-RIHS resources and services". With the term resource we intend any entity that may be of interest to a Infrastructure such as the one that the E-RIHS PP project is setting up, i.e. mainly datasets and services, but also people, organizations, instruments, and other entities. The catalogue aims at providing researchers with information related to Heritage Science resources available within E-RIHS through a formal model that helps categorising them according to their different features. Such features will also be used for discovering the resources in the Catalogue.
The catalogue structure was designed to serve as the basis for accounting in-kind contributions and, in perspective, to be a single access point for resource discovery and access services.Source: Research report, E-RIHS PP, 739503, 2020 Project(s): E-RIHS PP